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Scalable data management using user-based caching and prefetching in distributed virtual environments
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Source Virtual Reality Software and Technology archive
Proceedings of the ACM symposium on Virtual reality software and technology table of contents
Baniff, Alberta, Canada
Session: Distributed Virtual Environments table of contents
Pages: 121 - 126  
Year of Publication: 2001
ISBN:1-58113-427-4
Authors
Sungju Park  Information and Communications University, Taejon, Korea
Dongman Lee  Information and Communications University, Taejon, Korea
Mingyu Lim  Information and Communications University, Taejon, Korea
Chansu Yu  Information and Communications University, Taejon, Korea
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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ABSTRACT

For supporting real-time interaction in distributed virtual environments (DVEs), it is common to replicate virtual world data at clients from the server. For efficient replication, two schemes are used together in general - prioritized transfer of objects and a caching and prefetching technique. Existing caching and prefetching approaches for DVEs exploit spatial relationship based on distances between a user and objects. However, spatial relationship fails to determine which types of objects are more important to an individual user, not reflecting user's interests. We propose a scalable data management scheme using user-based caching and prefetching exploiting the object's access priority generated from spatial distance and individual user's interest in objects in DVEs. We also further improve the cache hit rate by incorporating user's navigation behavior into the spatial relationship between a user and the objects in the cache. By combining the interest score and popularity score of an object with the spatial relationship, we improve the performance of caching and prefetching since the interaction locality between the user and objects are reflected in addition to spatial locality. The simulation results show that the proposed scheme outperforms the hit rate of existing caching and prefetching by 10% on average when the cache size is set to basic cache size, the size of expected number of objects included in the user's viewing range.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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D. Lee et al, "ATLAS: Scalable network framework for large distributed virtual environments," MIC Project Report, August, 1999.
 
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S. Lee, G. Kim, and C. Park, "Cache Management for Demand-Driven Geometric Data Transmission in Networked Virtual Environments," TR 2001-15. http://www.vrrc.org/
 
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D. Schmalstieg and M. Gervautz, "Demand-Driven Geometry Transmission for Distributed Virtual Environments," in Proceedings of EUROGRAPHICS '96, pages 421-433, Poitier, France, August 1996.


Collaborative Colleagues:
Sungju Park: colleagues
Dongman Lee: colleagues
Mingyu Lim: colleagues
Chansu Yu: colleagues